awesome_time_series_in_python
datascience
awesome_time_series_in_python | datascience | |
---|---|---|
2 | 4 | |
2,034 | 4,110 | |
- | - | |
0.0 | 8.3 | |
over 1 year ago | 12 days ago | |
- | Creative Commons Zero v1.0 Universal |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome_time_series_in_python
-
What's the best resource to learn time series analysis?
Just stumbled upon this GitHub repo - Awesome Time Series in Python. It's mostly for different Python libraries that can be used for time series analysis, but I thought it would still be useful. It also has some tutorials, data sets, one free course, etc. I think it's worth checking out!
- Help with multiple time series forecasting
datascience
- Datasciene Libraries for Python
- Datascience Libraries for Python
-
Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.
This GitHub repo maintains a good list of resources. Check out the "Time Series" section. https://github.com/r0f1/datascience
- Opinionated List of Data Science Libraries for Python
What are some alternatives?
Data-Science-Roadmap - Data Science Roadmap from A to Z
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
Blazor-MachineIntelligence - Centralized repository of my Blazor apps with Machine Intelligence (Statistics, Analytics, Machine Learning, AI, Information Retrieval etc.). This repository will coalesce all of my Machine Intelligence repos in a single area and point to their respective: live demo, source code, video & presentation locations.
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
htsprophet - Hierarchical Time Series Forecasting using Prophet
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
Data-science-best-resources - Carefully curated resource links for data science in one place
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
mlreef - The collaboration workspace for Machine Learning
darts - A python library for user-friendly forecasting and anomaly detection on time series.